The report investigated the weight, height, arm span and shoe size of 20 males and females included their records, discussion whether they are overweight or underw

Extracts from this document...

Introduction

Name: Nguyen Vu Thanh Thu Date: 19/01/2006

AE1: Scientific Investigation

CONTENTS

Abstract

Introduction

Method

Results

Discussion

Conclusion

Reference

Abstract:

The report investigated the weight, height, arm span and shoe size of 20 males and females included their records, discussion whether they are overweight or underweight, and final conclusion about the result. The final result after discussion is gender does have affect on height, weight, arm span and shoe size.

Introduction:

The science report investigate the body mass (height, weight, arm span and shoe size) to understand relationship between weight, height and arm span. Body mass data of 20 people of both genders in the same age range from 19 to 23 will be used in the report. I predict some of the people will be overweight, underweight and balance; arm span will be approximately equal to height and height is relating to weight. My hypothese is gender will have affected on body mass of height, weight, arm span and shoe size.

Related GCSE Height and Weight of Pupils and other Mayfield High School investigations essays

From these pie charts and histograms it is easy to compare the gender variation, but I feel a scatter graph comparing boy's height with boy's shoe size or girl's height with girl's shoe size would also be useful. OBSERVATIONS After completing my investigation with graphs and my calculations of various

a very fast reaction time, when really they could have a slow one. E.g. If the ruler was being held 8cm above one persons hand, the ruler could fall 10cm, but they catch it at 2cm, giving them a score of 2.

For example a person might choose from a 100 people the first 10 or the last 10. The reason I did not chose this type of sampling was because the sample would be bias and unrepresentative. Sample Size I am now going to use the stratisfied sampling now; altogether there are 180 males and females (100 males + 80 females).

The calculation was: Random*25=. This calculation gave one random number which was then highlighted on the data sheet. To get the other 24 pieces of data the = button was continuously pressed. And the end of this procedure I had randomly selected 25 pieces of data from each sub-set.

6 Having collected all the correct data, I will then produce two separate scatter graphs displaying the data of both males and females 7 After doing this, I will then find the standard deviation for all my data using the function (STCEVP (range)); in order to see how far away the data is from the mean.

The data that I have collected is Continuous data so I will have to group my data for the 3 measurements. 1. Height (All data) I will now do all my calculations and graphs for Height. I will firstly do the calculations and graphs for all of my data, and